Multi-view Graph Learning Framework with Spectral Encoding and Sparse Cross-Attention for miRNA-Drug Association Prediction.
Experimental results show that MVGSCA effectively integrates heterogeneous biological information and achieves superior prediction performance, offering valuable insights into cancer resistance mechanisms and supporting drug discovery efforts.